The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

The brain isn't a computer—it's a dynamic, adaptable system shaped by evolution. It's emotional, contextual, and designed for ...

Contexts and aspects have been distinguished as the significant factors in fabricating recommender systems. Most recommender systems aim at utilizing either non-contextual preferences or contextual ...

Unlike vibe coding (intuitive but inconsistent) and prompt engineering (single-shot prompts), context engineering provides a ...

The AI revolution began with a simple realization: the way you ask matters. Engineers and users alike discovered that ...

An AI agent, combined with a model context protocol (MCP), can create more contextual AI systems that can perform a wide ...

Background The burden of cardiovascular events in Africa is projected to rise significantly in the coming decade, placing ...

Agentic AI systems have the potential to work together, but not yet at scale. This episode breaks down two emerging standards — Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication.